Interface | Description |
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ObjectIntMultiVector.WeightProvider |
Interface for providing the weights for the Jaccard distance function.
|
ObjectVector<T> |
Interface for LocalAbstractObject implementations that encapsulate vector data.
|
Class | Description |
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CophirXmlParser |
Implementation of the CoPhIR XML file parsing.
|
MetaObjectArray |
Implementation of the
MetaObject that stores a fixed array of encapsulated objects. |
MetaObjectArrayWeightedSum |
Extension of the
MetaObjectArray that implements the distance
as a weighted sum of the encapsulated objects. |
MetaObjectColor |
This class represents a meta object that encapsulates MPEG7 descriptors for colors.
|
MetaObjectCophirKeywords |
Implementation of the object that encapsulates CoPhIR data including keywords.
|
MetaObjectCophirKeywords.CophirWeightedCosineDistanceFunction |
Class for distance functions that compute distances on keyword vectors
of two
MetaObjectCophirKeywords }s using weighted Cosine distance. |
MetaObjectCophirKeywords.MetaObjectCophirKeywordsDistCosine |
Object that holds only keywords and measures the distance as the
weighted Cosine distance with weights based on tf-idf algorithm.
|
MetaObjectCophirKeywords.MetaObjectCophirKeywordsWithTKStrings |
Extension of the MetaObjectCophirKeywords that preserves also the keyword
strings in both binary and Java serialization.
|
MetaObjectFixed |
Abstract implementation of the
MetaObject that stores a fixed list of
encapsulated objects. |
MetaObjectFixedMap |
This is an implementation of the
MetaObject which stores data in fixed ArrayMap . |
MetaObjectFixedWeightedSum |
Abstract extension of the
MetaObjectFixed that implements the distance
as a weighted sum of the encapsulated objects. |
MetaObjectMap |
Implementation of
MetaObject that stores encapsulated objects
in a hash table. |
MetaObjectParametricArray |
Implementation of the
MetaObject that stores a fixed array of encapsulated objects
with additional parameters . |
MetaObjectParametricArrayTotalMin |
Extension of the
MetaObjectArray that implements the distance
as minimum of the distances between all pairs (from this object and the other
MetaObjectArray object). |
MetaObjectParametricArrayWeightedSum |
Extension of the
MetaObjectParametricArray that implements the distance
as a weighted sum of the encapsulated objects. |
MetaObjectParametricMap |
Extension of the standard
MetaObjectParametric that stores encapsulated
LocalAbstractObject s in a map under their symbolic names (strings). |
MetaObjectParametricShapeAndColor |
This class represents a meta object that encapsulates MPEG7 descriptors for shape and color
with optional data stored via the
Parametric interface. |
MetaObjectParametricShapeColorAndText |
This class represents a meta object that encapsulates MPEG7 descriptors for shape and color.
|
MetaObjectParametricShapeColorAndText.TextDistanceFunction |
Distance function for
MetaObjectParametricShapeColorAndText that
uses only the distance of the textual descriptor. |
MetaObjectPixMacSCT |
Special meta object that stores only the objects required for the PixMac search.
|
MetaObjectPixMacSCT.MultiWeightIgnoreProviderPixMac |
Implementation of
ObjectIntMultiVector.WeightProvider that has a single weight for every data array of the ObjectIntMultiVector
and it ignores a specified list of integers (created from a given list of keywords). |
MetaObjectPixMacShapeAndColor |
Special meta object that stores only the objects required for the PixMac search.
|
MetaObjectProfiSCT |
Special meta object that stores only the objects required for the Profi search.
|
MetaObjectProfiSCT.DatabaseKeywordClassifier |
Provides a
Classifier that processes list of ranked abstract objects and provides keyword classification
with words belonging to the object locator URI with the respective confidence based on the ranking distance. |
MetaObjectProfiSCT.DatabaseSupport |
Utility class that allows to read/store the necessary data of the Profi objects
in a database.
|
MetaObjectProfiSCT.DatabaseSupport.KeywordWeightProvider |
Implements a database provider for keyword weights.
|
MetaObjectProfiSCT.DatabaseSupport.Stopword |
Encapsulation of database stopword
|
MetaObjectProfiSCT.MetaObjectProfiSCTKwDistCosine |
Object that holds only keywords and measures the distance as the
weighted Cosine distance with weights based on tf-idf algorithm.
|
MetaObjectProfiSCT.MetaObjectProfiSCTKwDistJaccard |
Object that holds only keywords and measures the distance as the
weighted Jaccard with weights based on tf-idf algorithm.
|
MetaObjectProfiSCT.MetaObjectProfiSCTWithTKStrings |
Extension of the MetaObjectProfiSCT that preserves also the title and keywords
strings in both binary and Java serialization.
|
MetaObjectProfiSCT.MultiWeightIgnoreProviderProfi |
Implementation of
ObjectIntMultiVector.WeightProvider that has a single weight for every data array of the ObjectIntMultiVector
and it ignores a specified list of integers (created from a given list of keywords). |
MetaObjectProfiSCT.ProfiSCTWeightedCosineDistanceFunction |
Class for distance functions that compute distances on keyword vectors
of two
MetaObjectProfiSCT }s using weighted Cosine distance. |
MetaObjectProfiSCTiDIM |
Special meta object that stores only the objects required for the Profi search.
|
MetaObjectProfiSCTiDIM.MetaObjectProfiSCTiDIMKwDistCosine |
Object that holds only keywords and measures the distance as the
weighted Cosine distance with weights based on tf-idf algorithm.
|
MetaObjectProfiSCTiDIM.MetaObjectProfiSCTiDIMWithTKStrings |
Extension of the MetaObjectProfiSCT that preserves also the title and keywords
strings in both binary and Java serialization.
|
MetaObjectSAPIR | |
MetaObjectSAPIR.XMLHandlerSAPIR |
Internal class that parses SAPIR XML
|
MetaObjectSAPIRWeightedDist | |
MetaObjectSAPIRWeightedDist2 | |
MetaObjectSAPIRWeightedDist3 | |
MetaObjectShape |
This class represents a meta object that encapsulates MPEG7 descriptors for shape.
|
MetaObjectShapeAndColor |
This class represents a meta object that encapsulates MPEG7 descriptors for shape and color.
|
ObjectByteVector |
This object uses static array of byte integers as its data content.
|
ObjectByteVectorL1 |
Implementation of the
ObjectByteVector with an L1 (city-block) metric distance. |
ObjectByteVectorL2 |
Implementation of the
ObjectByteVector with an L2 (Euclidean) metric distance. |
ObjectColorLayout | |
ObjectContourShape |
This is the MPEG-7 Contour Shape descriptor.
|
ObjectContourShape.Node |
An auxiliary class used by the distance function.
|
ObjectDoubleVector |
This object uses static array of doubles as its data content.
|
ObjectDoubleVectorL1 |
Implementation of the
ObjectDoubleVector with an L1 (city-block) metric distance. |
ObjectDoubleVectorL2 |
Implementation of the
ObjectDoubleVector with an L2 (Euclidean) metric distance. |
ObjectFaceLuxandDescriptor |
This class encapsulates a Luxand FaceSDK recognition descriptor.
|
ObjectFaceMPEG7AdvancedDescriptor |
This class holds an advanced descriptor of face identity robust to variations in pose and illumination conditions.
|
ObjectFaceMPEG7Descriptor |
This class encapsulates a face recognition descriptor.
|
ObjectFacePittPattDescriptor |
This class encapsulates a PittPatt recognition descriptor.
|
ObjectFeature |
Abstract class for local image feature
|
ObjectFeatureByte |
Vlasta: This class used a hack for lowering memory footprint by moving an interval [0;255] to [-127;128], which is in essence WRONG!
|
ObjectFeatureByteL2 | |
ObjectFeatureClustered | Deprecated
This is superseded by
ObjectFeatureQuantized |
ObjectFeatureClusteredMatch | Deprecated
This is superseded by
ObjectFeatureQuantized |
ObjectFeatureFloat | |
ObjectFeatureFloatL2 | |
ObjectFeatureFloatWClusters | Deprecated
I do not know the purpose of this class, so I marked it as deprecated.
|
ObjectFeatureFloatWClustersL2 | Deprecated
I do not know the purpose of this class, so I marked it as deprecated.
|
ObjectFeatureLong | |
ObjectFeatureLongL2 | |
ObjectFeatureOrderedSet |
This class adds ordering of the features in the set.
|
ObjectFeatureOrderedSet.SlidingWindow |
Sliding window -- used in sequence matching of
feature sets . |
ObjectFeatureQuantized |
Class for local image feature that is quantized to an array of long integers.
|
ObjectFeatureQuantizedOneOfManyDist |
Class for local image feature that is quantized to an array of long integers.
|
ObjectFeatureSet |
Represents a list of LocalAbstractObjects
All the encapsulated objects share the same locator URI.
|
ObjectFeatureSetHausdorff | |
ObjectFeatureSetMinNumOfSimilar |
Compute the number of similar features between this and other
ObjectFeatureSet . |
ObjectFeatureSetNeedlemanWunsch |
Needleman-Wunsch global sequence alignment algorithm.
|
ObjectFeatureSetNeedlemanWunschWindowed |
Needleman-Wunsch global sequence alignment computed by sliding windows.
|
ObjectFeatureSetNumOfSimilar | |
ObjectFeatureSetOrdpres | |
ObjectFeatureSetSmithWaterman |
Smith-Waterman local sequence alignment algorithm.
|
ObjectFeatureSetSmithWatermanWindowed |
Smith-Waterman local sequence alignment computed by sliding windows.
|
ObjectFeatureSetSumOfMinDists | |
ObjectFeatureSetSumOfSimilar | |
ObjectFloatUnitVector |
This object uses static array of floats as its data content.
|
ObjectFloatUnitVectorL2 |
Implementation of the
ObjectFloatUnitVector with an L2 (Euclidean) metric distance. |
ObjectFloatVector |
This object uses static array of floats as its data content.
|
ObjectFloatVectorCosine |
Implementation of the
ObjectFloatVector with a Cosine metric
distance. |
ObjectFloatVectorL1 |
Implementation of the
ObjectFloatVector with an L1 (city-block) metric distance. |
ObjectFloatVectorL2 |
Implementation of the
ObjectFloatVector with an L2 (Euclidean) metric distance. |
ObjectFloatVectorLmax |
Implementation of the
ObjectFloatVector with an L-max metric distance. |
ObjectFloatVectorNeuralNetwork |
This object uses static array of floats as its data content.
|
ObjectFloatVectorNeuralNetworkL2 |
This object uses static array of floats as its data content.
|
ObjectFloatVectorTunable |
Implementation of the
ObjectFloatVector with an L2 (Euclidean) metric distance. |
ObjectGPSCoordinate |
Implements GPS coordinates objects.
|
ObjectGPSCoordinate.ReferenceEllipsoid |
The ReferenceEllipsoid class defines a geodetic reference ellipsoid
used as a standard for geodetic measurements.
|
ObjectHomogeneousTexture | |
ObjectIntMultiVector |
This object uses multiple static array of integers as its data content.
|
ObjectIntMultiVector.ArrayMultiWeightProvider |
Implementation of
ObjectIntMultiVector.WeightProvider that has a given weight for every
item of every data array of ObjectIntMultiVector . |
ObjectIntMultiVector.MapMultiWeightProvider |
Implementation of
ObjectIntMultiVector.WeightProvider that has a map of weights for
based on items of ObjectIntMultiVector . |
ObjectIntMultiVector.MultiWeightIgnoreProvider |
Implementation of
ObjectIntMultiVector.WeightProvider that has a single weight for every data array of the ObjectIntMultiVector
and it ignores a specified list of integers (created from a given list of keywords) - the ignore weight is specified in the
last weight in the weight array. |
ObjectIntMultiVector.MultiWeightProvider |
Implementation of
ObjectIntMultiVector.WeightProvider that has a single weight for every data array
of the ObjectIntMultiVector . |
ObjectIntMultiVectorCosine |
Implements the Cosine distance function.
|
ObjectIntMultiVectorCosine.WeightedCosineDistanceFunction |
Class for distance functions that compute distances between two
ObjectIntMultiVector s using weighted Cosine distance. |
ObjectIntMultiVectorJaccard |
Implements the Jaccard coefficient distance function.
|
ObjectIntMultiVectorJaccard.WeightedJaccardDistanceFunction |
Class for distance functions that compute distances between two
ObjectIntMultiVector s using a non-metric weighted Jaccard coefficient. |
ObjectIntSortedVector |
This class represents an integer vector sorted non-decreasingly - the data
is sorted in the constructor, if not explicitely said that it's already sorted.
|
ObjectIntSortedVectorJaccard |
Implements the Jaccard coeficient distance function.
|
ObjectIntVector |
This object uses static array of integers as its data content.
|
ObjectIntVectorL1 |
Implementation of the
ObjectIntVector with an L1 (city-block) metric distance. |
ObjectIntVectorL2 |
Implementation of the
ObjectIntVector with an L2 (Euclidean) metric distance. |
ObjectRectangle2D | |
ObjectRegionShape |
This is the MPEG-7 Region Shape descriptor.
|
ObjectShortVector |
This object uses static array of short integers as its data content.
|
ObjectShortVectorL1 |
Implementation of the
ObjectShortVector with an L1 (city-block) metric distance. |
ObjectShortVectorL2 |
Implementation of the
ObjectShortVector with an L2 (Euclidean) metric distance. |
ObjectSignatureSQFD |
Signatures
|
ObjectString |
This object uses
String as its data content. |
ObjectStringDNASeqDist | |
ObjectStringEditDist |
Object with string content and edit distance metric function.
|
ObjectStringEditDistSleep |
An object that whose getDistance() method takes 10 miliseconds more than std Edit distance
|
ObjectStringFINLP_Dist | |
ObjectStringSmithWaterman | |
ObjectUnsignedByteVector |
This object represents an array of unsigned bytes represented in memory as short integers.
|
ObjectUnsignedByteVectorL2 |
Implementation of the
ObjectUnsignedByteVector with an L2 (Euclidean) metric distance. |
ObjectVectorEdgecomp | |
ObjectVectorEMD |
represents double[] data
|
ObjectXMRegionShape |
This is the MPEG-7 Region Shape descriptor.
|
Enum | Description |
---|---|
MetaObjectProfiSCT.Rights |
List of rights
|
MetaObjectProfiSCT.Territory |
List of territories
|
ObjectIntMultiVector.SDIteratorIntersectionResult |
Represents resulting values that can be returned by
intersect
method of the ObjectIntMultiVector.SortedDataIterator . |